一体化算力统筹云平台的架构设计、关键技术及应用研究

Architectural Design, Key Technologies, and Application Research of an Integrated Computing Power Coordination Cloud Platform for Computing Networks

摘要: 随着数字经济与人工智能技术的快速迭代，算力作为核心生产力的地位日益凸显，然而碎片化的算力资源分布、异构算力之间的协同壁垒以及供需错配等问题，严重制约了算力的高效利用。算网融合作为新型基础设施建设的重要方向，为打破算力孤岛、实现资源优化配置提供了关键思路。本文通过系统梳理一体化算力统筹云平台的总体架构与功能模块，深入剖析异构算力统一管理、智能调度策略、P2P计算网络等关键技术，探索平台在工业互联网、智慧城市、科学计算等场景的实际应用价值，最终为构建高效、弹性、安全的算力服务体系提供理论支撑与实践参考。

Abstract: With the rapid advancement of digital economy and artificial intelligence technologies, computing power has become a pivotal productivity driver. However, challenges such as fragmented computing resource distribution, coordination barriers between heterogeneous computing systems, and supply-demand mismatches severely hinder its efficient utilization. The convergence of computing and networking infrastructure, as a key direction in modern infrastructure development, provides critical solutions for breaking down computing silos and optimizing resource allocation. This study systematically examines the overall architecture and functional modules of integrated computing coordination cloud platforms, delves into key technologies including unified management of heterogeneous computing resources, intelligent scheduling strategies, and P2P computing networks, and explores practical applications in industrial internet, smart cities, and scientific computing scenarios. The findings ultimately offer theoretical foundations and practical references for building efficient, scalable, and secure computing service ecosystems.